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Discover Latest #Algorithm News, Articles and Videos with Contenting
1. Algorithmic Trading: What Is It and How Does It Work? Algorithmic trading is a type of trading that uses complex algorithms to determine the best time to buy or sell a stock or other financial instrument. Algorithmic trading systems use mathematical models and computer programs to make decisions about when to buy and sell. These systems can scan markets for potential opportunities, monitor news and events, and execute trades according to predetermined rules. Algorithmic trading has become increasingly popular as technology and computing power have advanced, making it possible to execute trades faster and with greater precision. Algorithmic trading can be used to help traders achieve better returns and reduce risk by eliminating emotions from the decision-making process.
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The Reality Check: Lessons from the Frontlines of Data Pipeline Failures - DataScienceVerse
“`html In the fast-paced world of data science, there’s a reality that often gets overshadowed by the glitz of machine learning algorithms and the buzz around big data. That reality? Data pipelines can and do fail. And let me tell you, I’ve had my fair share of learning experiences (read: failures) in this space. Join […]
Data Science in the Trenches: Confronting the Surprising Realities of Feature Engineering - DataScienceVerse
Feature engineering is like the secret sauce in the world of data science. You can have the freshest ingredients—massive datasets, cutting-edge algorithms—but without that special blend of features, everything falls flat. In my experience, diving deep into feature engineering often feels like stepping into a clown car, where you’re not sure how many surprises are […]
Data Science at the Edge: My Surprising Encounters with Real-Time Decision Making - DataScienceVerse
Ever found yourself in a situation where a fraction of a second could determine a better outcome? I didn’t think much about it until I started diving into the deep waters of Data Science and, more specifically, real-time decision-making. The world of data science isn’t just about crunching numbers or creating algorithms in a sterile […]
Lost in the Noise: My Journey Through the Hidden Complexity of Signal Processing in Data Science - DataScienceVerse
As I embarked on my journey into the realm of data science, I quickly discovered that one of the biggest challenges was the complexity of signal processing. It felt like stepping into a labyrinth, where each twist and turn led me deeper into the intertwined layers of algorithms and mathematics. I mean, who knew that […]
path finding - Is there a string-pulling algorithm that works directly with (3D) portals without checking LOS? - Game Development Stack Exchange
I'm working on a project where audio propagates through a series of rooms and portals. This is modeled by finding all paths from a source to listener and then merging their contributions into a final
Software as the Engine: Fueling the Growth of Modern Technology - Game Wisdom
The role of software in the current hyper-connected reality extends way beyond the role of the sphere of operating hardware and software, as it is industry-defining, streamlines the processes, guides the process of creativity, and enables innovation at a new level. Software facilitates the development of modern life: in the clouds, in the AI algorithms, …
New algorithms enable efficient machine learning with symmetric data | MIT News | Massachusetts Institute of Technology
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.
WiBD Berlin Chapter Interview with Meyyar Palaniappan | Women in Big Data
When data becomes the new currency and algorithms shape business decisions, representation matters more than ever. Yet women make up just 28% of the global tech workforce—a statistic that Meyyar Palaniappan is actively working to change. As a cloud expert, speaker, founder, and Director of Women in Big Data Munich, she's building bridges between technical